End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3200
-- Accuracy: 0.8906
-- F1: 0.9212
+- Loss: 0.2989
+- Accuracy: 0.9062
+- F1: 0.9333
 
 ## Model description
 
@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 160  | 0.3912          | 0.8609   | 0.9046 |
-| No log        | 2.0   | 320  | 0.3005          | 0.8875   | 0.9167 |
-| No log        | 3.0   | 480  | 0.3223          | 0.8891   | 0.9175 |
-| 0.3952        | 4.0   | 640  | 0.3336          | 0.8859   | 0.9140 |
-| 0.3952        | 5.0   | 800  | 0.3200          | 0.8906   | 0.9212 |
+| No log        | 1.0   | 180  | 0.3227          | 0.8781   | 0.9150 |
+| No log        | 2.0   | 360  | 0.3293          | 0.8562   | 0.8940 |
+| 0.3756        | 3.0   | 540  | 0.3180          | 0.8906   | 0.9210 |
+| 0.3756        | 4.0   | 720  | 0.2866          | 0.9094   | 0.9357 |
+| 0.3756        | 5.0   | 900  | 0.2989          | 0.9062   | 0.9333 |
 
 
 ### Framework versions

runs/Jul25_05-54-55_b88fb23b12ba/events.out.tfevents.1721886906.b88fb23b12ba.5161.0

@@ -1,3 +1,3 @@
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+size 7356